The primary objective of this project is to design and implement an event-driven backend system that automates the generation, validation, and delivery of healthcare-related EDI (Electronic Data Interchange) files, such as 834 (Eligibility and Enrollment), 837 (Claims), and 835 (Remittance Advice). These files are essential for secure, standardized, and compliant data exchange between healthcare providers, payers, and regulatory partners.

This system aims to:

• Ensure compliance with HIPAA and EDI X12 standards through rigorous validation (via Cotiviti).
• Enable seamless integration with external vendors like Avesis, Nations Benefits, and Reveleer through SFTP-based delivery mechanisms.
• Maintain operational transparency and traceability using real-time monitoring and logging via SigNoz.
• Support future scalability and workflow orchestration through modular design and integration with AWS services like SQS and Step Functions.

Application aims to revolutionize the digital fitness landscape by offering a smart, AI-powered mobile application that delivers hyper-personalized workout experiences. This cross-platform app will empower users to achieve their health and fitness goals through dynamic daily workout plans, real-time posture feedback, and seamless integration with wearable devices such as Fitbit and Apple Watch. The application leverages advanced technologies like OpenAI for adaptive workout generation, PoseTracker for form analysis, and biometric data from wearables to ensure each user receives the most effective and safe workout guidance. Users will be guided through a streamlined onboarding experience that personalizes their fitness journey from day one—factoring in goals, experience level, equipment access and any medical conditions.

In today’s fast-evolving workplace, organizations require an HR management system that not only streamlines operations but also prioritizes employee well-being. A next-generation HR platform with AI-driven automation helps businesses efficiently manage HR processes while ensuring employees’ mental health remains a core focus. By integrating advanced features such as payroll management, leave tracking, a Learning Management System (LMS), an Applicant Tracking System (ATS), and seamless connectivity with tools like Okta, Microsoft Teams, and Slack, such a system enhances efficiency, engagement, and overall workforce productivity.